A user study on anonymization techniques for smart video surveillance

Pascal Birnstill, Daoyuan Ren, J. Beyerer
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引用次数: 19

Abstract

A key mechanism of privacy-aware smart video surveillance is anonymization of video data. We conducted a user study with a response of 103 participants in order to investigate which pixel operations are suitable for protecting persons' identities while, at the same time, allowing a human operator to recognize persons' activities i.e., preserving the utility of the video data. Regarding the activities in the data set, namely stealing, fighting, and dropping a bag, our data does not approve the common hypothesis that privacy and utility of video data are necessarily trade-off.
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智能视频监控匿名化技术的用户研究
隐私感知智能视频监控的关键机制是视频数据的匿名化。我们进行了一项有103名参与者参与的用户研究,以调查哪些像素操作适合保护人员的身份,同时允许人类操作员识别人员的活动,即保留视频数据的效用。对于数据集中的偷窃、打架、丢包等活动,我们的数据并不支持视频数据的隐私性和实用性必然是权衡的假设。
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